Evidence map›Paper›PMID 27390528›Full record

ArticleOncoTargets and therapy2016

Internal mammary sentinel lymph node biopsy: abandon or persist?

Peng-Fei Qiu, Yan-Bing Liu, Yong-Sheng Wang

Open access · goldAbstract read
In one paragraph

Article in OncoTargets and therapy, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.2field-weighted citation impact, top 23% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. First study on the efficiency ofAnnals of nuclear medicine · 2025
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  3. Frontiers in oncology · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Peng-Fei QiuBreast Cancer Center, Shandong Cancer Hospital and Institute, Jinan, Shandong, People's Republic of China.
Yan-Bing LiuBreast Cancer Center, Shandong Cancer Hospital and Institute, Jinan, Shandong, People's Republic of China.
Yong-Sheng WangBreast Cancer Center, Shandong Cancer Hospital and Institute, Jinan, Shandong, People's Republic of China.
Shandong Tumor Hospital · CNShandong First Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although the 2009 American Joint Committee on Cancer incorporated the internal mammary sentinel lymph node biopsy (IM-SLNB) concept, there has been little change in surgical practice patterns due to the low visualization rate of internal mammary sentinel lymph nodes with the traditional injection technique. Meanwhile, as internal mammary lymph nodes (IMLN) metastases are mostly found concomitantly with axillary lymph nodes (ALN) metastases, previous IM-SLNB clinical trials fail to evaluate the status of IMLN in patients who are really in need (only in clinically ALN negative patients). Our modified injection technique (periareolar intraparenchymal, high volume, and ultrasonographic guidance) significantly improved the visualization rate of internal mammary sentinel lymph nodes, making the routine IM-SLNB possible in daily practice. IM-SLNB could provide individual minimally invasive staging, prognosis, and decision-making for breast cancer patients, especially for patients with clinically positive ALN. Moreover, IMLN radiotherapy should be tailored and balanced between the potential benefit and toxicity, and IM-SLNB-guided IMLN radiotherapy could achieve this goal. In the era of effective adjuvant therapy, within the changing treatment approach - more systemic therapy, less loco-regional therapy - clinicians should deliberate the application of regional IMLN therapy.

Indexed as

axillary lymph nodebreast cancerinternal mammary lymph nodesentinel lymph node biopsy

Identifiers

PMID27390528
PMCPMC4930240
OpenAlexW2468485819

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.